359.866 hasil untuk machine learning
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Artikel Jurnal Teks lengkap
Machine learning and protein allostery
The fundamental biological importance and complexity of allosterically regulated proteins stem from their central role in signal transduction and cellular processes. Recently, machine learning approaches have been developed and actively deployed to facilitate theoretical and experimental studies of…
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Artikel Jurnal Teks lengkap
Synergic quantum generative machine learning
We introduce a new approach towards generative quantum machine learning significantly reducing the number of hyperparameters and report on a proof-of-principle experiment demonstrating our approach. Our proposal depends on collaboration between the generators and discriminator, thus, we call it…
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Artikel Jurnal Teks lengkap
Machine learning enhanced cell tracking
…and assemble these into meaningful trajectories. In this aspect, machine learning (ML) is having a transformational effect on bioimage analysis, now enabling robust cell detection in multidimensional image data. However, the task of cell tracking, or constructing accurate multi-generational…
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Artikel Jurnal Teks lengkap
Machine learning and 3D bioprinting
…constructs. To make bioprinting and bioprinted constructs more powerful, machine learning (ML) is introduced to optimize the relevant processes, applied materials, and mechanical/biological performances. The objectives of this work were to collate, analyze, categorize, and summarize published…
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Artikel Jurnal Teks lengkap
Machine Learning for Protein Engineering
…traditional directed evolution with computation through the training of machine learning models on protein sequence fitness data. This chapter highlights successful applications of machine learning to protein engineering and directed evolution, organized by the improvements that have been made with…
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Artikel Jurnal Teks lengkap
Machine learning in shoulder arthroplasty
AIMS: Machine learning (ML) holds significant promise in optimizing various aspects of total shoulder arthroplasty (TSA), potentially improving patient outcomes and enhancing surgical decision-making. The aim of this systematic review was to identify ML algorithms and evaluate their effectiveness…
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Artikel Jurnal Teks lengkap
Machine Learning in Polymer Research
Machine learning is increasingly being applied in polymer chemistry to link chemical structures to macroscopic properties of polymers and to identify chemical patterns in the polymer structures that help improve specific properties. To facilitate this, a chemical dataset needs to be translated into…
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Machine Learning in Pain Neuromodulation
This chapter highlights the intersection of pain neuromodulation and machine learning (ML), exploring current limitations in pain management and how ML techniques can address these challenges. Neuromodulation technologies, such as spinal cord stimulation (SCS), have emerged as promising…
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Artikel Jurnal Teks lengkap
Diffusion MRI with machine learning
…can be highly complex. Recent years have witnessed increasing use of machine learning methods for dMRI analysis. This manuscript aims to assess these efforts, with a focus on methods that have addressed data preprocessing and harmonization, microstructure mapping, tractography, and white matter…
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Artikel Jurnal Teks lengkap
Radiometer calibration using machine learning
…reference source to mitigate errors by comparison. Recent advances in Machine Learning (ML) offer promising alternatives. Neural networks, which are trained using known signal sources, provide a powerful means to model and calibrate complex systems where traditional analytical approaches struggle…
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Artikel Jurnal Teks lengkap
Comparing non-machine learning vs. machine learning methods for Ki67 scoring in gastrointestinal neuroendocrine tumors
…comparisons exist between different tools. We compared a non-machine learning (non-ML) tool (ImageScope, Leica Biosystems) with a machine learning (ML) tool (Aiforia Create, Aiforia Technologies) on Ki67-stained slides from 10 low proliferative neuroendocrine tumor cases (Ki67 score
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Buku Teks lengkap
Machine Learning in Sports
This open access book provides cutting-edge work on machine learning in sports analytics, emphasizing the integration of computer vision, data analytics, and machine learning to redefine strategic sports analysis. This book not only covers the essential methodologies of capturing and analyzing real…
Juga tersedia di: DOAB
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Buku Teks lengkap
Machine Learning and Biometrics
We are entering the era of big data, and machine learning can be used to analyze this deluge of data automatically. Machine learning has been used to solve many interesting and often difficult real-world problems, and the biometrics is one of the leading applications of machine learning. This book…
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Buku Teks lengkap
Machine Learning and Medicine
The contributions in this Reprint cover various aspects of application such as diagnosis, imaging, and assessing prognosis, collectively demonstrating the improvements in diagnostic accuracy and medical decision making that can be achieved by machine learning approaches
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Buku Teks lengkap
Machine Learning for Cybersecurity
"Machine Learning for Cybersecurity: Threat Detection and Mitigation" delves into the transformative role of machine learning in addressing contemporary cybersecurity challenges. This reprint provides an in-depth exploration of how advanced techniques such as deep learning, natural language…
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Buku Teks lengkap
Machine Learning in Insurance
Machine learning is a relatively new field, without a unanimous definition. In many ways, actuaries have been machine learners. In both pricing and reserving, but also more recently in capital modelling, actuaries have combined statistical methodology with a deep understanding of the problem at…
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